Teaching evaluation is an indispensable part of the teaching system of junior high school.In order to inherit the excellent traditional Chinese culture and arts,traditional Chinese painting has been paid more and more...Teaching evaluation is an indispensable part of the teaching system of junior high school.In order to inherit the excellent traditional Chinese culture and arts,traditional Chinese painting has been paid more and more attention to in the fine arts curriculum of rural junior high school.This paper takes the classroom teaching evaluation of traditional Chinese painting as a form of fine arts in rural junior high school as the research object,and analyzes the problems existing in the classroom teaching evaluation of traditional Chinese painting in rural junior high school.This paper puts forward the corresponding improvement measures from the aspects of comprehensive evaluation object,concrete evaluation content,flexible evaluation language and diversified evaluation subjects,in order to improve the evaluation level of fine arts teachers'classroom teaching,improve students'aesthetic cognition and learning interest in traditional Chinese painting,and cultivate students'innovative thinking and spirit.展开更多
With the popularization of quality education,the teaching evaluation of fine arts class in rural primary schools has become an important part of the new curriculum reform,which tests whether the teaching goals are eff...With the popularization of quality education,the teaching evaluation of fine arts class in rural primary schools has become an important part of the new curriculum reform,which tests whether the teaching goals are effectively achieved.This paper takes the formative evaluation system of fine arts classroom teaching in rural primary schools as the research object,analyzes the research status of the formative evaluation system in rural primary schools,and expounds the theoretical basis and construction principles of the formative evaluation system.This paper constructs a formative evaluation system of fine arts classroom teaching in rural primary schools from the aspects of teachers and students inside and outside the classroom,teaching process and teaching effect,in order to effectively stimulate students'interest in learning and improve their aesthetic literacy.展开更多
Based on the traditional numerical simulation and optimization algorithms,in combination with the layered injection and production"hard data"monitored at real time by automatic control technology,a systemati...Based on the traditional numerical simulation and optimization algorithms,in combination with the layered injection and production"hard data"monitored at real time by automatic control technology,a systematic approach for detailed water injection design using data-driven algorithms is proposed.First the data assimilation technology is used to match geological model parameters under the constraint of observed well dynamics;the flow relationships between injectors and producers in the block are calculated based on automatic identification method for layered injection-production flow relationship;multi-layer and multi-direction production splitting technique is used to calculate the liquid and oil production of producers in different layers and directions and obtain quantified indexes of water injection effect.Then,machine learning algorithms are applied to evaluate the effectiveness of water injection in different layers of wells and to perform the water injection direction adjustment.Finally,the particle swarm algorithm is used to optimize the detailed water injection plan and to make production predictions.This method and procedure make full use of the automation and intelligence of data-driven and machine learning algorithms.This method was used to match the data of a complex faulted reservoir in eastern China,achieving a fitting level of 85%.The cumulative oil production in the example block for 12 months after optimization is 8.2%higher than before.This method can help design detailed water injection program for mature oilfields.展开更多
Background: Endoscopic ultrasonography (EUS) is well-established, highly accurate clinical diagnostic test for detection and staging of gastrointestinal tract lesions and related organs. The addition of endoscopic gui...Background: Endoscopic ultrasonography (EUS) is well-established, highly accurate clinical diagnostic test for detection and staging of gastrointestinal tract lesions and related organs. The addition of endoscopic guided fine needle aspiration cytology (EUS-FNAC) has improved the performance characteristics of EUS. Aim: Evaluate the validity of EUS-FNAC in diagnosis of gastrointestinal tract lesions and related organs and assess predictive factors for an accurate EUS-FNAC diagnosis. Methods: Our study included cytological sampling from one hundred sixty-six lesions obtained from gastrointestinal tract and related organs. Factors affecting EUS-FNA accuracy were analyzed. The histopathological results or clinical follow-up were used as the gold standard method. Results: Samples were obtained from: pancreatic masses (n = 80), gastric masses (n = 34), lymph nodes (n = 22), hepatobiliary masses (n = 18) and rectal masses (n = 2). Statistical analysis of sensitivity, specificity, Positive Predictive Value, Negative Predictive Value, and diagnostic accuracy of EUS alone was 80.4%, 51.6%, 75.8%, 76.2% and 75.9% respectively. The sensitivity, specificity, positive predictive value and negative predictive value of EUS-FNAC are 78.8%, 96.8%, 97.6% and 73.2% respectively. Addition of FNAC to EUS improved diagnostic accuracy to 85.5%. Positive statistical association was present between cytological adequacy and adequate cell block preparations, larger lesion size, presence of rapid on site evaluation (ROSE) and obtaining at least two passes from target lesion. Conclusions: EUS is valuable diagnostic and cost effective tool for gastrointestinal tract lesions and related organs when combined with FNAC.展开更多
基金Research Project on Degree and Postgraduate Education and Teaching Reform of Jiangxi Normal University(YJG201804).
文摘Teaching evaluation is an indispensable part of the teaching system of junior high school.In order to inherit the excellent traditional Chinese culture and arts,traditional Chinese painting has been paid more and more attention to in the fine arts curriculum of rural junior high school.This paper takes the classroom teaching evaluation of traditional Chinese painting as a form of fine arts in rural junior high school as the research object,and analyzes the problems existing in the classroom teaching evaluation of traditional Chinese painting in rural junior high school.This paper puts forward the corresponding improvement measures from the aspects of comprehensive evaluation object,concrete evaluation content,flexible evaluation language and diversified evaluation subjects,in order to improve the evaluation level of fine arts teachers'classroom teaching,improve students'aesthetic cognition and learning interest in traditional Chinese painting,and cultivate students'innovative thinking and spirit.
基金Research Project on Degree and Postgraduate Education and Teaching Reform of Jiangxi Normal University(YJG201804).
文摘With the popularization of quality education,the teaching evaluation of fine arts class in rural primary schools has become an important part of the new curriculum reform,which tests whether the teaching goals are effectively achieved.This paper takes the formative evaluation system of fine arts classroom teaching in rural primary schools as the research object,analyzes the research status of the formative evaluation system in rural primary schools,and expounds the theoretical basis and construction principles of the formative evaluation system.This paper constructs a formative evaluation system of fine arts classroom teaching in rural primary schools from the aspects of teachers and students inside and outside the classroom,teaching process and teaching effect,in order to effectively stimulate students'interest in learning and improve their aesthetic literacy.
基金Supported by the Key Program of Petro China Exploration&Production Company(Grant No.kt2017-17-01-1 and kt2017-17-06-1)Consulting Project of Chinese Academy of Engineering(Grant No.2019-XZ-17)
文摘Based on the traditional numerical simulation and optimization algorithms,in combination with the layered injection and production"hard data"monitored at real time by automatic control technology,a systematic approach for detailed water injection design using data-driven algorithms is proposed.First the data assimilation technology is used to match geological model parameters under the constraint of observed well dynamics;the flow relationships between injectors and producers in the block are calculated based on automatic identification method for layered injection-production flow relationship;multi-layer and multi-direction production splitting technique is used to calculate the liquid and oil production of producers in different layers and directions and obtain quantified indexes of water injection effect.Then,machine learning algorithms are applied to evaluate the effectiveness of water injection in different layers of wells and to perform the water injection direction adjustment.Finally,the particle swarm algorithm is used to optimize the detailed water injection plan and to make production predictions.This method and procedure make full use of the automation and intelligence of data-driven and machine learning algorithms.This method was used to match the data of a complex faulted reservoir in eastern China,achieving a fitting level of 85%.The cumulative oil production in the example block for 12 months after optimization is 8.2%higher than before.This method can help design detailed water injection program for mature oilfields.
文摘Background: Endoscopic ultrasonography (EUS) is well-established, highly accurate clinical diagnostic test for detection and staging of gastrointestinal tract lesions and related organs. The addition of endoscopic guided fine needle aspiration cytology (EUS-FNAC) has improved the performance characteristics of EUS. Aim: Evaluate the validity of EUS-FNAC in diagnosis of gastrointestinal tract lesions and related organs and assess predictive factors for an accurate EUS-FNAC diagnosis. Methods: Our study included cytological sampling from one hundred sixty-six lesions obtained from gastrointestinal tract and related organs. Factors affecting EUS-FNA accuracy were analyzed. The histopathological results or clinical follow-up were used as the gold standard method. Results: Samples were obtained from: pancreatic masses (n = 80), gastric masses (n = 34), lymph nodes (n = 22), hepatobiliary masses (n = 18) and rectal masses (n = 2). Statistical analysis of sensitivity, specificity, Positive Predictive Value, Negative Predictive Value, and diagnostic accuracy of EUS alone was 80.4%, 51.6%, 75.8%, 76.2% and 75.9% respectively. The sensitivity, specificity, positive predictive value and negative predictive value of EUS-FNAC are 78.8%, 96.8%, 97.6% and 73.2% respectively. Addition of FNAC to EUS improved diagnostic accuracy to 85.5%. Positive statistical association was present between cytological adequacy and adequate cell block preparations, larger lesion size, presence of rapid on site evaluation (ROSE) and obtaining at least two passes from target lesion. Conclusions: EUS is valuable diagnostic and cost effective tool for gastrointestinal tract lesions and related organs when combined with FNAC.
